Python Multiple and Large PDF Documents Text Extraction - Python 3.7

As a Data Scientist , You may not stick to data format.

PDFs is good source of data, most of the organization release their data in PDFs only. As AI is growing, we need more data for prediction and classification; hence, ignoring PDFs as data source for you could be a blunder.

As you know PDF Processing comes under text analytics.

Most of the Text Analytics Library or frameworks are designed in Python only, this gives a leverage on text analytics. You can never process a pdf directly in exising frameworks of Machine Learning or Natural Language Processing. Unless they are proving explicit interface for this, we have to convert pdf to text first.

Most Python Liabiries for Pdf Processing such as PyPDF2 and Pdfminer.six perform in text extraction task, but this performance is limited to a small and simple PDF document.

That's why, PDFs-TextExtract project developed to extract text from multiple and large pdf documents.

• Step 1: Select Version of Python (Python 3.7) to Install from Python.org website.
• Step 2: Download Python Executable Installer.
• Step 3: Run Executable Installer.
• Step 4: Verify Python Was Installed On Windows.
• Step 5: Verify Pip Was Installed.
• Step 6: Add Python Path to Environment Variables (Optional).
• Step 7: Install Python extension for your IDE (Visual Studio Code).
• Step 8: Now you’ll be able to execute python scripts with your IDE (Visual Studio Code).
• Step 9: Execute Terminal command inside Python IDE : pip install pdfminer.six
• Step 10: Execute Terminal command inside Python IDE : pip install PyPDF2

• Step 1: Open ..\PDFs-TextExtract-master\samples folder and put your PDF Documents inside.
• Step 2: Execute ..\PDFs-TextExtract-master\Scripts\merged.py script.
• Step 3: Execute ..\PDFs-TextExtract-master\Scripts\spliter.py script.
• Step 4: Execute ..\PDFs-TextExtract-master\Scripts\extract_text.py script.
• Step 5: Open ..\PDFs-TextExtract-master\output and you will find the result there.

• Overview about PDF Processing with Python
• pdf2txt tool forked from pdfminer.six project.
• merger and spliter tools forked from PyPDF2 project.